AI Article Synopsis

  • The study examined impurity profiling of methamphetamine (MA) using thermal desorption (TD) combined with gas chromatography-mass spectrometry (GC-MS).
  • Optimal results were achieved with a 20 mg MA sample extracted at 120°C for 3 minutes, allowing for the detection of various related compounds and synthesis solvents without complex extraction processes.
  • The research indicated that while liquid-liquid extraction (LLE) provided better reproducibility, TD yielded higher intensities and more diverse peaks, suggesting that using both methods together enhances impurity profiling of MA.

Article Abstract

Impurity profiling of methamphetamine (MA) using thermal desorption (TD) and gas chromatography-mass spectrometry (GC-MS) was examined. Using TD/GC-MS, impurities were extracted and separated under various conditions. Optimal chromatograms were obtained when a 20 mg MA sample was extracted at 120 degrees C for 3 min using a TD instrument, followed by separation of the extracts using a non-polar capillary column coated with (5%phenyl)-methylpolysiloxane. MA samples from nine different batches were analyzed under optimized conditions. Compounds related to the structure of MA, such as benzaldehyde, benzyl alcohol, amphetamine, cis- and trans-1,2-dimethyl-3-phenylaziridine, dimethylamphetamine, and N-acetylephedrine, were detected in the chromatograms without any laborious extraction procedure. Compounds such as ethanol, diethyl ether, and acetic acid, which are considered reagents and solvents for MA synthesis, were also detected in some of the chromatograms. The numbers and intensities of the peaks detected were different among the samples. Impurity profiling of MA using TD was compared with that using liquid-liquid extraction (LLE). Better reproducibility of peak areas was obtained using LLE, whereas higher intensities and numbers of peaks were detected using TD. Solvents were extracted more effectively using TD. The nine batches of MA were classified using both extraction procedures. The nine batches were divided roughly into two groups using data from LLE. Subsequently, the groups were classified in detail using data from TD. TD can be used to provide supplemental information for LLE, and the combination of these extraction methods can be helpful for impurity profiling of MA.

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Source
http://dx.doi.org/10.1016/j.forsciint.2006.09.007DOI Listing

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